INDEX

Explanations

locations or landmarks, especially canyons and specific cities

oai_token-act-pair · gpt-3.5-turbo

mentions of specific geographic locations, particularly canyons

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.1.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

encers

-0.84

encer

-0.83

abol

-0.74

enced

-0.74

DonaldTrump

-0.70

ī

-0.70

ews

-0.70

 redistributed

-0.69

minded

-0.68

held

-0.68

POSITIVE LOGITS

 Canyon

1.35

 canyon

1.09

 Springs

0.94

 Creek

0.89

 Rapids

0.89

lake

0.87

 Mesa

0.83

 River

0.80

 Ranch

0.79

lace

0.79

Activations Density 0.003%

locations or landmarks, especially canyons and specific cities

mentions of specific geographic locations, particularly canyons

No Comments

No Known Activations